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Weekly Selection – June 7, 2019

An Overview of Python's Datatable package

By Parul Pandey – 7 min read

Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets.


Optimizing deep learning trading bots using state-of-the-art techniques

By Adam King – 16 min read

Let’s teach our deep RL agents to make even more money using feature engineering and Bayesian optimization


Advanced Topics in Deep Convolutional Neural Networks

By Matthew Stewart, PhD Researcher – 21 min read

Residual networks, saliency maps, dilated convolutions, and more.


What if AI model understanding were easy?

By Cassie Kozyrkov – 7 min read

See analytics-for-AI in action as I walk you through Google’s What-If Tool


Introduction to recommender systems

By Baptiste Rocca and Joseph Rocca – 22 min read

During the last few decades, with the rise of Youtube, Amazon, Netflix and many other such web services, recommender systems have taken more and more place in our lives.


Introduction to Graphs

By Maël Fabien – 10 min read

Main concepts, properties, and applications in Python


Architecture & Style

By Stanislas Chaillou – 16 min read

A New Frontier for AI in Architecture


Private AI – Federated Learning with PySyft and PyTorch

By André Macedo Farias – 7 min read

An application to SMS spam detection with a GRU model


Optimization with SciPy and application ideas to machine learning

By Tirthajyoti Sarkar – 11 min read

Optimization is often the final frontier, which needs to be conquered to deliver the real value, for a large variety of business and technological processes.


Asimov’s Laws of Robotics, and why AI may not abide by them

By Hans A. Gunnoo – 6 min read

"But what if we end up in a Terminator scenario?" One cannot be blamed for asking such questions since, through movies and sci-fi stories, cases where the robots take over are almost ubiquitous and therefore frame our impression of a future with Artificial Intelligence (AI).


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